QuantumQuokka
Error-mitigated quantum state tomography using neural networks
Error-mitigated quantum state tomography using neural networks
Published: 12 May 2026 · Updated: 13 July 2026
Read the original sourceThe Critique
The method uses "supervised learning" but doesn't specify how training data is obtained. If you need noise-free labels to train the noise mitigation, you have a chicken-and-egg problem. They also don't address how the method scales to larger systems - MLPs typically struggle with exponential Hilbert space dimension.
Why It Matters
If the method requires noise-free training data or doesn't scale, it's impractical for real quantum devices. Understanding how it compares to existing techniques is essential for adoption.